Welcome Visiting Professor:
Dr. Louise Sun
Dr. Sun is Professor and Director of Cardiovascular Research at Stanford Medicine. Her clinical areas of expertise are advanced therapies for heart failure and hemodynamic monitoring. Her methodologic areas of expertise are causal inference, predictive analytics, and health services research using large high-dimensional databases. Her patient-centered research program leverages big data to bridge key gaps in cardiac health delivery. This includes building high-performance models to predict outcomes, response to treatment, and health resource utilization, as well as effectively deploying these models in clinical settings through customized software applications and hardware devices. She specializes in rapid deployment of data-driven solutions to enhance operational efficiency and patient care and holds several patents.
Dr. Sun is active in the scientific community and is a champion of artificial intelligence in medicine internationally. She sits on a number of US and international editorial boards, leadership and scientific committees and study sections including the American Heart Association, Society of Cardiovascular Anesthesiologists, International Academy of Cardiac Anesthesiologists, and the Canadian Institutes of Health Research; serves as a writing group member on multiple AHA and APSF clinical practice guidelines and scientific statements; and collaborates on a variety of national and international population health and data science initiatives. She is regularly invited to speak about big data and artificial intelligence, consult for the industry, and share her clinical expertise in cardiac anesthesiology and critical care medicine around the world. She has authored over 150 peer-reviewed publications, many in leading journals including JAMA, Circulation, JACC, and Anesthesiology; and has mentored a large number of faculty and trainees from a wide variety of disciplines, many of them went on to have successful academic careers.
Department of Anesthesiology Grand Rounds in Richardson Amphitheatre
April 22, 2026 at 0700-0815hrs
Transforming Cardiovascular Care - Turning Big Data and Biotechnology into Actionable Intelligence
Learning Objectives:
- Define big data and understand the data-to-intelligence continuum
- Describe how big data and biotechnology can be leveraged to their fullest potential to address clinically relevant, patient-centered questions
- Describe how AI and predictive analytics can be integrated into clinical workflows to improve patient outcomes and health care resource utilization
A Zoom link will be distributed